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On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs
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Author:
Peter A.N. Bosman
Centre for Mathematics and Computer Science, Amsterdam, Netherlands
Published in:
· Proceeding
GECCO '09
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Pages 389-396
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-325-9
doi>
10.1145/1569901.1569956
2009 Article
Bibliometrics
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· Citation Count: 5
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GECCO '13
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algorithms
estimation of distribution algorithms
evolutionary algorithms
experimentation
learning
memory
numerical optimization
optimization
performance
problem solving, control methods, and search
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